We introduce an open-source package called supraHex. Instructions on how to install can be found here. There are 5 demos provided here.
A summary for this package can be found below:
supraHex names after a supra-hexagon that is a giant hexagon on a 2-dimensional (2D) map grid seamlessly consisting of smaller hexagons. This 2D giant hexagon is intended to train/model, analyse and visualise a high-dimensional omics data, which usually involve a large number of genomic coordinates (e.g. genes) but a much smaller number of samples. With the supraHex, users are able to easily and intuitively carry out integrated tasks such as: simultaneous analysis of gene clustering and sample correlation, and the overlaying of additional data (if any) onto the map for multilayer omics data comparisons. Users can get a rough idea about it from our recent publication (http://www.sciencedirect.com/science/article/pii/S0006291X13020056).
